{"id":"W2917747054","doi":"10.1007/s10633-016-9553-y","title":"ISCEV standard for clinical visual evoked potentials: (2016 update)","year":2016,"lang":"en","type":"article","venue":"Documenta Ophthalmologica","topic":"Visual perception and processing mechanisms","field":"Neuroscience","cited_by":664,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Checkerboard; Luminance; Stimulus (psychology); Visual evoked potentials; Medicine; Artificial intelligence; Audiology; Psychology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009910226,0.001567987,0.003482032,0.005394306,0.0008948999,0.004491149,0.00690671,0.00464944,0.00971725],"category_scores_gemma":[0.03569325,0.0005767945,0.001957516,0.004200524,0.001719544,0.004187351,0.00275452,0.006098284,0.01422281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003314002,"about_ca_system_score_gemma":0.006664107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008555236,"about_ca_topic_score_gemma":0.01218547,"domain_scores_codex":[0.9929703,0.001140209,0.002403749,0.0005651135,0.002531816,0.0003888358],"domain_scores_gemma":[0.9601747,0.006780477,0.00412044,0.001945051,0.02544589,0.001533491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006328591,0.0001200521,0.003435218,0.002897118,0.0001696876,0.000367068,0.000071095,0.0002932374,0.001396779,0.002205567,0.3412332,0.6471782],"study_design_scores_gemma":[0.000653557,0.000355891,0.02789477,0.01357429,0.0006750241,0.005151432,0.0002757261,0.0008107116,0.004664056,0.006018246,0.9397621,0.0001642595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.01399532,0.644726,0.05501815,0.103826,0.03961667,0.001746874,0.02094431,0.005663903,0.1144628],"genre_scores_gemma":[0.1021708,0.4970837,0.1192504,0.0761782,0.02713514,0.006613767,0.1014239,0.003422972,0.06672117],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.009910226,"threshold_uncertainty_score":0.0524109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1340769228381755,"score_gpt":0.4454412277897486,"score_spread":0.3113643049515731,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}